42 computational-physics-"https:"-"https:"-"https:"-"https:"-"Ulster-University" PhD positions at University of Nottingham
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competitive process. (this will cover home tuition fees and UKRI stipend). The University actively supports equality, diversity and inclusion and encourages applications from all sections of society The Faculty
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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Physical Sciences or a related discipline, with expertise in fluid mechanics and heat transfer. Experience with Computational Fluid Dynamics software, preferably OpenFOAM. Programming skills with software
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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Applicants are invited to undertake a three year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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individual atomic sites. Topological defects are central to modern condensed-matter physics, underpinning phenomena ranging from superconductivity to superfluidity, yet they are rarely accessible as individual
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid